Show/Hide data repr

xarray.Dataset

Dimensions:
- time: 485450
- wavelength: 256
Coordinates: (2)
- time
  (time)
  float64
  3.731e+09 3.731e+09 ... 3.803e+09
  axis :
  T
  calendar :
  gregorian
  long_name :
  time
  standard_name :
  time
  units :
  seconds since 1900-01-01 0:0:0
```
array([3.730992e+09, 3.730992e+09, 3.730992e+09, ..., 3.803123e+09,
       3.803123e+09, 3.803123e+09])
```
- wavelength
  (wavelength)
  int32
  0 1 2 3 4 5 ... 251 252 253 254 255
```
array([  0,   1,   2, ..., 253, 254, 255], dtype=int32)
```

Data variables: (38)

aux_fitting_1

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Aux Fitting 1
coordinates :: time lat lon
long_name :: Aux Fitting 1
precision :: 4
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

aux_fitting_2

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Aux Fitting 2
coordinates :: time lat lon
long_name :: Aux Fitting 2
precision :: 4
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

checksum

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Data checksum.
coordinates :: time lat lon
long_name :: Data Checksum
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

date_of_sample

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Date of Sample
coordinates :: time lat lon
long_name :: Date of Sample
precision :: 0
units :: 1





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

deployment

(time)

int32

dask.array<chunksize=(67159,), meta=np.ndarray>

long_name :: Deployment Number
name :: deployment





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  int32  numpy.ndarray

driver_timestamp

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Driver timestamp, UTC
long_name :: Driver Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

humidity

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Humidity
coordinates :: time lat lon
long_name :: Internal Humidity
precision :: 4
units :: %





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

ingestion_timestamp

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: The NTP Timestamp for when the granule was ingested
long_name :: Ingestion Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

internal_timestamp

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Internal timestamp, UTC
long_name :: Internal Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

lamp_time

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Elapsed time lamp has been on in seconds
coordinates :: time lat lon
long_name :: Lamp Time
precision :: 0
units :: s





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

nitrate_concentration

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Dissolved Nitrate Concentration, uncorrected for temperature and salinity effects.
coordinates :: time lat lon
data_product_identifier :: NITRDIS_L1
long_name :: Dissolved Nitrate Concentration
units :: µMol L-1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nitrate_concentration_qc_executed

(time)

uint8

dask.array<chunksize=(67159,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  485.45 kB   67.16 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  uint8  numpy.ndarray

nitrate_concentration_qc_results

(time)

uint8

dask.array<chunksize=(67159,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  485.45 kB   67.16 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  uint8  numpy.ndarray

nutnr_absorbance_at_254_nm

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Absorbance at 254 nm
coordinates :: time lat lon
long_name :: Absorbance at 254 Nm
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_absorbance_at_350_nm

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Absorbance at 350 nm
coordinates :: time lat lon
long_name :: Absorbance at 350 Nm
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_bromide_trace

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Bromide Trace
coordinates :: time lat lon
long_name :: Bromide Trace
units :: mg/l





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_current_main

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Main Current
coordinates :: time lat lon
long_name :: Main Current
units :: mA





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_dark_value_used_for_fit

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Dark Value Used for Fit
coordinates :: time lat lon
long_name :: Dark Value Used for Fit
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_fit_base_1

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Fit Base 1
coordinates :: time lat lon
long_name :: Fit Base 1
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_fit_base_2

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Fit Base 2
coordinates :: time lat lon
long_name :: Fit Base 2
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_fit_rmse

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Fit RMSE
coordinates :: time lat lon
long_name :: Fit RMSE
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_integration_time_factor

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Integration Time Factor
coordinates :: time lat lon
long_name :: Integration Time Factor
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_nitrogen_in_nitrate

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Nitrogen in Nitrate
coordinates :: time lat lon
long_name :: Nitrogen in Nitrate
units :: mg/l





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_spectrum_average

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Spectrum Average
coordinates :: time lat lon
long_name :: Spectrum Average
units :: 1





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

nutnr_voltage_int

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Internal Power Supply Voltage
coordinates :: time lat lon
long_name :: Internal Power Supply Voltage
units :: V





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

port_timestamp

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Port timestamp, UTC
long_name :: Port Timestamp, UTC
units :: seconds since 1900-01-01





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

practical_salinity

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Salinity is generally defined as the concentration of dissolved salt in a parcel of seawater. Practical Salinity is a more specific unitless quantity calculated from the conductivity of seawater and adjusted for temperature and pressure. It is approximately equivalent to Absolute Salinity (the mass fraction of dissolved salt in seawater) but they are not interchangeable.
coordinates :: time lat lon
data_product_identifier :: PRACSAL_L2
instrument :: CE07SHSM-RID27-03-CTDBPC000
long_name :: Practical Salinity
precision :: 4
standard_name :: sea_water_practical_salinity
stream :: ctdbp_cdef_dcl_instrument_recovered
units :: 1





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

salinity_corrected_nitrate

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

ancillary_variables :: temp frame_type spectral_channels practical_salinity nutnr_dark_value_used_for_fit
comment :: Temperature and salinity corrected dissolved nitrate concentration.
coordinates :: time lat lon
data_product_identifier :: NITRTSC_L2
long_name :: Nitrate Concentration - Temp and Sal Corrected
units :: µmol L-1





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

salinity_corrected_nitrate_qc_executed

(time)

uint8

dask.array<chunksize=(67159,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: QC Checks Executed





  
      Array  Chunk 
  
  
     Bytes  485.45 kB   67.16 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  uint8  numpy.ndarray

salinity_corrected_nitrate_qc_results

(time)

uint8

dask.array<chunksize=(67159,), meta=np.ndarray>

coordinates :: time lat lon
long_name :: QC Checks Results





  
      Array  Chunk 
  
  
     Bytes  485.45 kB   67.16 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  uint8  numpy.ndarray

spectral_channels

(time, wavelength)

float32

dask.array<chunksize=(67159, 256), meta=np.ndarray>

comment :: UV Absorption Spectra is an array of values produced by the NUTNR instrument class and is based on the ultraviolet (UV) absorption characteristics of the components of seawater, including dissolved nitrate.
coordinates :: time lat lon
data_product_identifier :: NITROPT_L0
long_name :: UV Absorption Spectra
precision :: 0
units :: counts





  
      Array  Chunk 
  
  
     Bytes  497.10 MB   68.77 MB 
     Shape  (485450, 256)   (67159, 256) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

temp

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Seawater temperature near the sensor.
coordinates :: time lat lon
data_product_identifier :: TEMPWAT_L1
instrument :: CE07SHSM-RID27-03-CTDBPC000
long_name :: Seawater Temperature
precision :: 4
standard_name :: sea_water_temperature
stream :: ctdbp_cdef_dcl_instrument_recovered
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

temp_interior

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Interior Temperature
coordinates :: time lat lon
long_name :: Interior Temperature
precision :: 4
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

temp_lamp

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Lamp Temperature
coordinates :: time lat lon
long_name :: Lamp Temperature
precision :: 4
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

temp_spectrometer

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Spectrometer Temperature
coordinates :: time lat lon
long_name :: Spectrometer Temperature
precision :: 4
units :: degree_C





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

time_of_sample

(time)

float64

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Time of Sample
coordinates :: time lat lon
long_name :: Time of Sample
units :: h





  
      Array  Chunk 
  
  
     Bytes  3.88 MB   537.27 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float64  numpy.ndarray

voltage_lamp

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Lamp Voltage
coordinates :: time lat lon
long_name :: Lamp Voltage
precision :: 4
units :: V





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

voltage_main

(time)

float32

dask.array<chunksize=(67159,), meta=np.ndarray>

comment :: Main Voltage
coordinates :: time lat lon
long_name :: Main Voltage
precision :: 4
units :: V





  
      Array  Chunk 
  
  
     Bytes  1.94 MB   268.64 kB 
     Shape  (485450,)   (67159,) 
     Count  9 Tasks  8 Chunks 
     Type  float32  numpy.ndarray

Attributes: (53)
Conventions :
CF-1.6
Metadata_Conventions :
Unidata Dataset Discovery v1.0
Notes :
This netCDF product is a copy of the data on the University of Washington AWS Cloud Infrastructure.
Owner :
University of Washington Cabled Array Value Add Team.
cdm_data_type :
Point
collection_method :
recovered_host
comment :
Some of the metadata of this dataset has been modified to be CF-1.6 compliant.
creator_name :
Ocean Observatories Initiative
creator_url :
http://oceanobservatories.org/
date_created :
2020-11-25T05:34:33.856447
date_downloaded :
2020-11-25T05:28:00.989062
date_modified :
2020-11-25T05:34:33.856473
date_processed :
2020-11-25T05:38:28.193323
featureType :
point
geospatial_lat_max :
46.98812
geospatial_lat_min :
46.98812
geospatial_lat_resolution :
0.1
geospatial_lat_units :
degrees_north
geospatial_lon_max :
-124.568
geospatial_lon_min :
-124.568
geospatial_lon_resolution :
0.1
geospatial_lon_units :
degrees_east
geospatial_vertical_positive :
down
geospatial_vertical_resolution :
0.1
geospatial_vertical_units :
meters
history :
2020-11-25T05:34:33.856368 generated from Stream Engine
id :
CE07SHSM-RID26-07-NUTNRB000-recovered_host-suna_dcl_recovered
infoUrl :
http://oceanobservatories.org/
institution :
Ocean Observatories Initiative
keywords :
keywords_vocabulary :
lat :
46.98812
license :
lon :
-124.568
naming_authority :
org.oceanobservatories
nodc_template_version :
NODC_NetCDF_TimeSeries_Orthogonal_Template_v1.1
node :
RID26
processing_level :
L2
project :
Ocean Observatories Initiative
publisher_email :
publisher_name :
Ocean Observatories Initiative
publisher_url :
http://oceanobservatories.org/
references :
More information can be found at http://oceanobservatories.org/
sensor :
07-NUTNRB000
source :
CE07SHSM-RID26-07-NUTNRB000-recovered_host-suna_dcl_recovered
sourceUrl :
http://oceanobservatories.org/
standard_name_vocabulary :
NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table 29
stream :
suna_dcl_recovered
subsite :
CE07SHSM
summary :
Dataset Generated by Stream Engine from Ocean Observatories Initiative
time_coverage_end :
2018-09-20T19:33:00.888000
time_coverage_start :
2018-03-25T18:45:30.961000
title :
Data produced by Stream Engine version 1.18.0 for CE07SHSM-RID26-07-NUTNRB000-recovered_host-suna_dcl_recovered